code: def load_glove_embeddings(local_cache_path="."):
      """Download premade glove embeddings (if not already downloaded)
      and unzip the downloaded file
  
      :param local_cache_path: download destination directory, defaults to "."
      :type local_cache_path: str, optional
      :return: file path to downloaded/unzipped file
      :rtype: str
      """
      URL = "http://nlp.stanford.edu/data/glove.6B.zip"
      file_name = "glove.6B.100d.txt"
      file_path = download_and_unzip(URL, file_name, local_cache_path)
      return file_path
  
file_path: interpret-text/notebooks/test_utils/utils_data_shared.py
imports: import os
  import requests
  from tqdm import tqdm
  import math
  import logging
  import zipfile
label_desc: Use image node_id 4 for calling a global function with example usage: load_glove_embeddings(local_cache_path) and returns: file_path